Amazon Aurora
Developer(s) | Amazon.com |
---|---|
Initial release | October 2014 [1] |
Operating system | Cross-platform |
Available in | English |
Type | relational database SaaS |
License | Proprietary |
Website |
aws |
Amazon Aurora is a hosted relational database service developed and offered by Amazon since October 2014.[1][2] Aurora is available as part of the Amazon Relational Database Service (RDS). Although it is a proprietary technology,[3] it offers MySQL compatible service since its release and PostgreSQL compatible since October 2017 [4] and it is also possible to stop and start Aurora Clusters since September 2018 [5]. Since August 2018 Amazon also offers a serverless version of AWS Aurora. [6]
Key features
Aurora does not require the user to provision database storage, as it automatically allocates storage in 10-gigabyte increments, as needed, up to a maximum of 64 terabytes.[7] Aurora offers automatic, six-way replication of those 10-gigabyte chunks across multiple locations for improved availability and fault-tolerance. Aurora also provides users with more comprehensive performance metrics, such as query throughput and latency, as compared to other RDS database engines.[8]
Compatibility limitations with MySQL
Amazon designed Aurora to be compatible with MySQL, meaning that tools for querying or managing MySQL databases (such as the mysql command-line client and the MySQL Workbench graphical user-interface) work with Amazon Aurora databases as well. Not all MySQL options and features are available, however: as of September 2016, Amazon Aurora is only compatible with one version of MySQL (5.6), and supports only InnoDB as a storage engine.[9]
Performance
Amazon claims fivefold performance improvements on benchmarking tests, due to "tightly integrating the database engine with an SSD-based virtualized storage layer purpose-built for database workloads, reducing writes to the storage system, minimizing lock contention and eliminating delays created by database process threads".[9] Other independent tests have shown that Aurora performs better than competing technologies on some, but not all, combinations of workload and instance type.[10]
See also
References
- 1 2 https://aws.amazon.com/blogs/aws/highly-scalable-mysql-compat-rds-db-engine/
- ↑ Preimesberger, Chris (2014-11-12). "Amazon Claims New Aurora DB Engine Screams With Speed". eweek.com. Retrieved 2014-11-13.
- ↑ Hiltbrand, Troy. "Analysis: Aurora Is Amazon's Answer for Forgotten DBMS Users". Upside. TDWI. Retrieved 14 September 2016.
- ↑ https://aws.amazon.com/blogs/aws/now-available-amazon-aurora-with-postgresql-compatibility/
- ↑ https://aws.amazon.com/about-aws/whats-new/2018/09/amazon-aurora-stop-and-start/
- ↑ https://aws.amazon.com/blogs/aws/aurora-serverless-ga/
- ↑ "Amazon Aurora FAQs". Amazon.com. Retrieved 14 September 2016.
- ↑ "Monitoring Amazon Aurora performance metrics". Datadog. Retrieved 15 September 2016.
- 1 2 "Amazon Aurora Product Details". Amazon.com. Retrieved 15 September 2016.
- ↑ Tusa, Marco. "AWS Aurora Benchmarking part 2". Percona. Retrieved 15 September 2016.
External links
- Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases - SIGMOD'17 (ACM digital library)
- Amazon Web Services, Inc. (2014-11-12). "Amazon Web Services Announces Amazon Aurora". phx.corporate-ir.net (Press release). Seattle, WA: Amazon.com. Retrieved 2014-11-13.